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In this study, the direct method based on the polishing for obtaining micro-grinding wheel topography was proposed and compared with the optical method. The proposed method provides fine details for the size of grits and the diameters of micro-grinding. The size distribution and profile of the...
The work presented in this paper is derived from an existing model for an imperfect process model (Moon et al., 2002) under constraint of setup time, and the total production time per cycle is equal to the cycle length. This paper considers the investment in setup cost reduction and quality...
This paper investigates a multilayer feed-forward neural network structure for automated bearing defect severity assessment under varying operating conditions. A bearing health index was proposed, based on the Weibull theory. Defect-related frequency features were used as inputs to the neural...
This work studies the feasibility of on-line monitoring of surface roughness in turning operations using a developed opto-electrical transducer. Regression and Neural Network (NN) models are exploited to predict surface roughness and compared to actual and on-line measurements. The comparative...
This paper applies distinct element method (DEM) to simulate the material removal in conventional and Laser Assisted Machining (LAM) of silicon nitride ceramics. Simulation results demonstrate that DEM can reproduce the initiation and propagation of cracks, chip formation process and material...
The Traditional Kanban System (TKS) with a fixed number of cards does not work satisfactorily in an unstable environment. In the adaptive kanban type pull control mechanism, the number of kanban is allowed to change with respect to the inventory and backorder level. It is required to set the...
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